Results 131 to 140 of about 2,314,269 (376)

A review of artificial intelligence in brachytherapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Artificial intelligence (AI) has the potential to revolutionize brachytherapy's clinical workflow. This review comprehensively examines the application of AI, focusing on machine learning and deep learning, in various aspects of brachytherapy.
Jingchu Chen, Richard L. J. Qiu, Tonghe Wang, Shadab Momin, Xiaofeng Yang   +4 more
wiley   +1 more source

Probability Density Function Models for Float Glass under Mechanical Loading with Varying Parameters. [PDF]

Materials (Basel), 2023
Symoens E, Van Coile R, Jovanović B, Belis J.   +3 more
europepmc   +1 more source

The probability density function of a hardware performance parameter [PDF]

Probability density function of hardware performance parameter and incentive ...
Gilchriest, C. E., Tam, M. K.
core   +1 more source

Evaluating the use of diagnostic CT with flattening filter free beams for palliative radiotherapy: Dosimetric impact of scanner calibration variability

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Palliative radiotherapy comprises a significant portion of the radiation treatment workload. Volumetric‐modulated arc therapy (VMAT) improves dose conformity and, in conjunction with flattening filter free (FFF) delivery, can decrease treatment times, both of which are desirable in a population with a high probability of retreatment ...
Madeleine L. Van de Kleut, Lesley A. Buckley, Elsayed S. M. Ali   +2 more
wiley   +1 more source

Estimation of Parameters on Probability Density Function Using Enhanced GLUE Approach. [PDF]

Comput Intell Neurosci, 2022
Alduais FS, Sayed-Ahmed N.
europepmc   +1 more source

A comparative analysis of deep learning architectures with data augmentation and multichannel input for locoregional breast cancer radiotherapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Studies on deep learning dose prediction increasingly focus on 3D models with multiple input channels and data augmentation, which increases the training time and thus also the environmental burden and hampers the ease of re‐training. Here we compare 2D and 3D U‐Net models with clinical accepted plans to evaluate the appropriateness of
Rosalie Klarenberg, Nienke L. M. Bakx, Coen W. Hurkmans   +2 more
wiley   +1 more source

Tracking Control for Output Probability Density Function of Stochastic Systems Using FPD Method. [PDF]

Entropy (Basel), 2023
Yang Y, Zhang Y, Zhou Y.
europepmc   +1 more source

First-Order Statistical Characteristics of Macrodiversity System with Three Microdiversity MRC Receivers in the Presence of k-µ Short-Term Fading and Gamma Long-Term Fading

Journal of Electrical and Computer Engineering, 2016
Macrodiversity system with macrodiversity SC receiver and three microdiversity MRC (maximum ratio combining) receivers is considered. Independent k-μ short-term fading and correlated Gamma long-term fading are present at the inputs of microdiversity MRC ...
Branimir Jaksic, Mihajlo Stefanovic, Danijela Aleksic, Dragan Radenkovic, Sinisa Minic   +4 more
doaj   +1 more source

SEQUENTIAL ESTIMATION OF A CONTINUOUS PROBABILITY DENSITY FUNCTION AND MODE [PDF]

, 1971
Hajime Yamato
openalex   +1 more source

Deep learning for presumed probability density function models [PDF]

Combustion and Flame, 2019
M. H. D. Frahan, Shashank Yellapantula, R. King, M. Day, R. Grout   +4 more
semanticscholar   +1 more source